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Machine Learning Engineer implementing ML solutions on a Procure to Pay project in a hybrid Pune setting, writing clean Python/ML code under senior mentorship with a focus on data preprocessing, model building, and team collaboration.
An AI Research Engineer develops and deploys machine learning models, conducts research, and collaborates with teams to solve complex problems using Python, TensorFlow, PyTorch, and NLP/Computer Vision techniques.
Builds and deploys generative AI and agentic systems using LLMs, LangChain/LangGraph, and Python to automate workflows and support healthcare applications.
Analyzes Disney+ content performance and audience engagement in LATAM using advanced analytics, SQL, Python, and visualization tools to drive data-driven decisions for streaming strategies.
Entry-level Data Scientist developing and deploying machine learning models for fraud detection and risk assessment using Python, SQL, and popular data science libraries in a cross-functional team.
Staff Engineer leading architecture, design, and hands-on development of enterprise AI/GenAI solutions—LLMs, RAG, and agentic workflows—using Python, FastAPI, LangChain/LangGraph, and Azure OpenAI at a global life-sciences company.
Hands-on technical leadership role designing, developing, and deploying advanced AI/ML solutions—including LLM applications, RAG, and agentic workflows—for scientific products at a major life sciences company. Core stack: Python, PyTorch, LangChain, LangGraph, Azure OpenAI, and vector search.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) for scientific/healthcare systems, integrating models into backend services and cloud platforms.
The Data Scientist will develop and integrate statistical and machine learning models, including LLMs and AI agents, into core insurance and healthcare business processes. The role involves end-to-end data engineering, model development, and communicating insights to management.
Hands-on senior AI/ML engineer leading the design, development, and production deployment of LLM, RAG, and agentic AI solutions for life sciences and healthcare applications using Python, PyTorch, LangChain, and Azure OpenAI.
Leads end-to-end AI/ML development for scientific workflows, deploying LLMs, RAG, and agentic systems in healthcare/genomics to improve customer outcomes and innovation.
The Data Scientist will design and deploy machine learning models and predictive frameworks to optimize business value within Hitachi Energy's Transformers business unit. The role involves collaborating with cross-functional teams to build robust data pipelines using Azure, Databricks, and Python while ensuring model transparency and performance.
Develops data-driven solutions for solar power plant operations, analyzing large-scale time-series data to improve performance, troubleshoot issues, and support customer-facing reporting. Core tech: Python, SQL, PySpark, and cloud analytics platforms like Databricks.
The Senior Machine Learning Engineer will design and build production-grade Intelligent Document Processing (IDP) and AI systems using Python, NLP, OCR, and LLMs. The role involves managing the full AI lifecycle, from data ingestion and model integration to deployment and observability in cloud environments.
Develop and deploy production ML systems for NLP, speech recognition, and data analysis using PyTorch, TensorFlow, and cloud platforms (AWS, Azure, GCP) at a major financial institution.
The Applied AI ML Associate develops and manages fraud and credit risk models for JPMorgan Chase's digital bank. The role involves end-to-end model lifecycle management, performance monitoring, and regulatory compliance using Python and machine learning frameworks.
As a working student Data Scientist, you will support the team by performing statistical analyses, developing agentic workflows, and extending web-based software solutions using Python and AI tools. The role requires 10-20 hours per week and is based in Dresden.
Builds predictive models and data products to drive customer lifetime value (CLV) by developing churn/retention models, segmentation strategies, and personalized CRM campaigns. Owns end-to-end ML workflows, including feature engineering, validation, deployment, and production monitoring in Databricks, while collaborating with CRM, Marketing, and Merchandising teams.
Build and maintain a full-stack analytics workflow app for an alternative asset manager using Angular, Python/FastAPI, Snowflake, and Azure, while coordinating an offshore vendor team.
Hands-on quantitative researcher building Python/SQL research tools, data pipelines and AI-enabled workflows for index methodologies and investment analytics at a global index provider.
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